Papers by Dinesh Hanchate
Smart Low Cost Fruit Picker for Indian Farmers
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA
The coronavirus global pandemic and its impacts on society
Coronavirus Drug Discovery
Model for Cost Estimation by Requirement Engineering
ABSTRACT One of the optimistic reasons software program fails lies in not estimating software siz... more ABSTRACT One of the optimistic reasons software program fails lies in not estimating software size accurately [1]. Estimating the size of software comes under the software measurement where software measurement is quantifiable dimension, attribute or amount of any aspect of a software program, product, and process. In analysis phase, we have to go through the requirement engineering where we must have SRS which gives reliability of project, function points calculation as any requirement after requirement analysis can cause to over run the schedule & cost of the project. After defining the problem definition, “analyzing existing requirement situation” become must for not having adverse effect on the cost estimation. We cannot build quality software without measurement. Measurement is essential activity in the analysis phase, which takes us to the objectives of prediction, progress & process improvement. We are concerned only about the requirement engineering where output of SRS is productivity and it’s weighted cost drivers or factors, which are essential for effort estimation. The PM of Effort & Software Size is the measures for the cost estimation of software as both the management measures are related to productivity [5]. In this paper, we do relate analysis of requirement, cost estimation & management measures in analysis phase of software development & it’s effect in the area of estimating effort & cost of software & management.
The well planned SPLC (Software project life cycle) doesn’t give certainty about the completion o... more The well planned SPLC (Software project life cycle) doesn’t give certainty about the completion of project in time and budget. The PMP (Project Management Processes), pregnant processes, rework, some float types and review process, always, put stumbling block for completion of project in Time. Apart from this defined process, there is need of genius decision making process. The various planned schedule, redundancy and contingency target schedules can be used as input for decision making processes and the solutions to be adapted during the stages of SPLC. This paper gives various schedule types with respect to software project contracts. These schedule types are the outputs of GRGA (Gene Repair Genetic algorithm) along the utilisation of EVM (Earned Value Management) concepts. The GRGA (Gene Repair based Genetic Algorithm) approach gives choice to change the constraints and or features as objective components in objective function. In this paper, we present different schedules as the...
Today’s need becomes compulsion to make the invention in the various control system due to the co... more Today’s need becomes compulsion to make the invention in the various control system due to the continuous and regular changing in technology and industrial processes. Control system requires fast and flexible responses. The its design need to provide easy and handy practical solution so that it accomplishes the performance requirement. From last few decades, we see emerging and innovative techniques of intelligent control are in the development stage and also developed. One of the areas of soft computing is Fuzzy logic (FL). FL is a intelligent control ability. Its knowledge based operational rules is useful for implementation with ease to control a complex system. In this article, a simple fuzzy controller structure is proposed. Generally we require information on the derivation of the controlled system output variable. But proposed system does not require. Getting the data of output derivation is not so easy and it’s cost more. In this paper a fuzzy logic controller (FLC) is devel...
1 Student of Computer Engineering, Pune University VPKBIET, Baramati, India 2 Professor of Comput... more 1 Student of Computer Engineering, Pune University VPKBIET, Baramati, India 2 Professor of Computer Engineering, Pune University VPKBIET, Baramati, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The video contains various objects, scene and action. Due to the various concept presents in video event detection is becoming difficult. Traditionally, visual concept detection carried out some significant improvement. For instance, the concept is defined by human and it has only one classifier. But this process is manual so it is time consuming. Automatic visual concept detection tries to imitate this process and perform the concept learning automatically. The aim of this study is to develop an automatic system that can learn visual concepts from the video. This detection is divided into three main areas i.e. event analysis, attribute concept and transfer knowledge respectively. In t...
International Journal of Industrial Engineering & Technology, 2021
Machine learning in agriculture domain: A state-of-art survey
Artificial Intelligence in the Life Sciences, 2021
Abstract Food is considered as a basic need of human being which can be satisfied through farming... more Abstract Food is considered as a basic need of human being which can be satisfied through farming. Agriculture not only fulfills humans’ basic needs, but also considered as source of employment worldwide. Agriculture is considered as a backbone of economy and source of employment in the developing countries like India. Agriculture contributes 15.4% in the GDP of India. Agriculture activities are broadly categorized into three major areas: pre-harvesting, harvesting and post harvesting. Advancement in area of machine learning has helped improving gains in agriculture. Machine learning is the current technology which is benefiting farmers to minimize the losses in the farming by providing rich recommendations and insights about the crops. This paper presents an extensive survey of latest machine learning application in agriculture to alleviate the problems in the three areas of pre-harvesting, harvesting and post-harvesting. Application of machine learning in agriculture allows more efficient and precise farming with less human manpower with high quality production.
Emerging Issues in Science and Technology Vol. 3
Literature Review on Personnel Scheduling
Lecture Notes in Economics and Mathematical Systems, 2010
ABSTRACT The problem of personnel or employee scheduling has become increasingly important for bo... more ABSTRACT The problem of personnel or employee scheduling has become increasingly important for both public sectors and private companies. It is an extension to the standard shift scheduling problem with some key limitations. But today, the increased generality of this problem has lead to more complex model due to its size and pure integer nature. So it has proven very difficult to solve optimally. Numerous approaches for modeling and solving this problem have been proposed. Here, we reviewed and classified the literature on personnel scheduling problem. The objective is to identify broad classification, compare different methods and identify the future research directions.
Sorting of integers by “D” method
So many methods of sorting the numbers are there in which the complexity depends on the number of... more So many methods of sorting the numbers are there in which the complexity depends on the number of inputs & number of comparisons[1]. It is worth to have sorting algorithm of complexity O(nlogn) rather than O(n 2). Our method is mostly depends upon the number of digits which are present in the numbers. This algorithms concentrates on the space rather than the time complexity.. INTRODUCTION Our method is optimum approach towards the sorting algorithm in small space as could as possible. Considering number of digits in the numbers,we can store the number in the memory as per the requirements of numbers length.
Organizational behavior and its improvement by software engineering pro cess models training
Any staff in the organization is imp ortant element in the systems development pro cess and its i... more Any staff in the organization is imp ortant element in the systems development pro cess and its improve ment. Their b ehavior definitely affects the systems pro ject if their b ehavioral measurement has not b een considered according to the some rule. Every pro ject as divided into planning, analysis, design and implementation, same can b e oriented Or analogous to the mans demeanor. The primitive properties, characteristics, effect and building blocks of characteristic s, output as bad behavior and go o d b ehavior of man can b e part of ab ove division . Thinking in the positive attitude yields to the optimum threshold of the decisions in the project. Ultimately it can b e useful for the system to increase the energy of system. Mental satisfaction of the staff in the system can give the projects output in decided time as it may b e affected by the financial position and physical capacity of that staff.
Impact of Risk Factors in Risk Management by Bayesian Learning
Bayesian Learning methods are among the most practical approaches to certain types learning probl... more Bayesian Learning methods are among the most practical approaches to certain types learning problems. Bayesian Learning is particularly important to machine learning because it provides a quantitative approach to weighing the evidence supporting alternative Hypothesis. In Software Risk Management it is often required to determine the impact of a particular risk on the overall project decision. In this paper we apply the concept of Bayesian Learning in order to determine the impact of a specific software risk on the project. In this paper we take a Hypothetical Project case study of some historical project data having some prior probabilities. We consider following Risk Factors to analyze the impact on the project namely uncertainty in size, complexity, execution time and memory constraint. We will analyze the impact of the specific risk factor on the overall project using Bayesian Learning technique.
Swapping of Number by using different techniques of Mathematical, logical Modeling & Algorithm
When we want to do the sorting of numbers, we definitely come across the exchange of number or sw... more When we want to do the sorting of numbers, we definitely come across the exchange of number or swapping of number. There are so many occasions, we will do the exchange of number, but not only that, we have to do it in the transactions (for the account in Bank), exchanging IP addresses in the routing algorithm, exchanging the nodes in the tree for making the tree of binary search, making the exchange of number in array for finding the maximum and minimum of given numbers etc. We tried to find the various techniques only and it's algorithm for some of them.
Animal Detection Using Histogram Oriented Gradient
Animal detection are useful for many real life applications. Animal detection methods are useful ... more Animal detection are useful for many real life applications. Animal detection methods are useful on research related identification of targeted animal and also prevented wild life animal intrusion in residential area. The animal detection becoming important issue because of the accidents occurring in the residential area. For preventing this issue, the AHDS system is proposed. The system consists animal detection using HOOG - [Haar of Oriented Gradients]. The HOOG is used for extracting the shape and texture features separately and combined those features using joint Learning approach for animal detection. After combining the shape and texture feature, two detection algorithms have been used for identifying the animals.
Software Project Planning Using Ant Colony Optimization (SPP-ACO) 1
ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) w w w. i j c s t . c o m Abstract Software P... more ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) w w w. i j c s t . c o m Abstract Software Project Scheduling Problem (SPSP) is a problem of task and employee scheduling by satisfying soft and hard constraint. Number of techniques are designed to solve SPSP problem. It includes Genetic Algorithm (GA), Tabu Search (TS). SPSP problem is solved by using these technique also. These all techniques are a Meta-heuristic techniques. A Novel Ant Colony Optimization (ACO) is a new Meta heuristic technique that are used to solve SPSP problem. For solving SPSP problem heuristic information as well as pheromone value is used. Heuristic information is calculated by using previous solution, eort, importance of task and allocation of employees. Six dierent strate-gies are used to calculate heuristic information. For solving SPSP problem construction graph is created, construction graph includes all possible path from one task to another task. Pheromone value is based on probability of maximum ...
This The activity of detecting and documenting the similarities and differences in related softwa... more This The activity of detecting and documenting the similarities and differences in related software products in domain is called as domain analysis. For efficient detection and utilization of commonality across related software systems, the effective software reuse is required. Domain experts providing information about a domain under analysis. Feature oriented domain analysis (FODA) is used for efficient detection and utilization of commonality across related software systems. Reuse of software product is one of the encouraging resolutions to the software disaster. Feature Oriented Reuse Environment (FORM) model constructed during the analysis is called a feature model, it captures commonality as an AND/OR graph. Domain analysis and Reuse Environment (DARE) is CASE tool that supports domain analyst in carrying out a clear domain analysis method. DARE is useful for detection and documenting domain information from documents and program. Recommender systems are used to find affinity ...
Software Project Scheduling Management by Particle Swarm Optimization
PSO (Particle Swarm Optimization) is, like GA, a heuristic global optimization method based on sw... more PSO (Particle Swarm Optimization) is, like GA, a heuristic global optimization method based on swarm intelligence. In this paper, we present a particle swarm optimization algo-rithm to solve software project scheduling problem. PSO it-self inherits very efficient local search method to find the near optimal and best-known solutions for all instances given as inputs required for SPSM (Software Project Scheduling Management). At last, this paper imparts PSO and research situation with SPSM. The effect of PSO parameter on project cost and time is studied and some better results in terms of minimum SCE (Software Cost Estimation) and time as com-pared to GA and ACO are obtained.
Design And Analysis Of Hybrid Approach For Document Classification Using Neural Network
The popularity of the internet has gowned result in to a massive increase in the amount of web pa... more The popularity of the internet has gowned result in to a massive increase in the amount of web pages. The information retrieval systems have to face big challenges because of information explosion. To handle these challenges document clustering is used which helps the information retrieval systems to classify this vast amount of data. Grouping similar documents together into clusters helps the users to find relevant information or document quickly. Feature selection or term selection is an important task in data analysis process since as information storage increase it become very hard to consider all the attributes and to predict its feature component so to reduce those components to their average representation, mathematical method like PCA can be used. It is useful to limit redundancy of features (values), increase comprehensibility of given information. This paper addresses the problem of information retrieval related with document clustering and classification using the mathema...
Tamper Detection in Database using Forensic Analysis
Tampering of database can be determined through cryptographically hash functions. Hash functions ... more Tampering of database can be determined through cryptographically hash functions. Hash functions determines only the tampering of data but forensic analysis functions determines only the tampering of data but forensic analysis can help to detect when data is tampered, what data is tampered and ultimately who and why. This paper presents a forensic analysis algorithm which is more efficient than forensic algorithms. It provides a solution set (all possible location of detected tampering.) and provides complete features of the solution set and its cardinality.
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Papers by Dinesh Hanchate